> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cloud-onboarding-template-releases/cloud-onboarding-templates-aws-rn.md). # AWS ## 2026-10-20 ### CloudFormation #### DISCOVERY * Added asset discovery for Amazon Bedrock AgentCore resources (agent runtimes, runtime endpoints, runtime versions, code interpreters, gateways, gateway targets, and harnesses). * Added asset discovery for 10 new Amazon SageMaker resource types, including domains, spaces, apps, user profiles, notebook instances, training jobs, and code repositories. * Added discovery of resource-based policies for Bedrock AgentCore agent runtimes, runtime endpoints, and gateways. * Removed unused permissions from the onboarding role. #### GENERAL * Improved onboarding speed for large organizations by deploying to up to 50% of accounts in parallel (configurable). Control Tower log collection also deploys to 50% of accounts in parallel (organization and account group onboarding only). * Added an optional setting to deploy only to specific organizational units (OUs); by default, all accounts in the organization are still included (organization onboarding only). ### Terraform #### DISCOVERY * Added asset discovery for Amazon Bedrock AgentCore resources (agent runtimes, runtime endpoints, runtime versions, code interpreters, gateways, gateway targets, and harnesses). * Added asset discovery for 10 new Amazon SageMaker resource types, including domains, spaces, apps, user profiles, notebook instances, training jobs, and code repositories. * Added discovery of resource-based policies for Bedrock AgentCore agent runtimes, runtime endpoints, and gateways. * Removed unused permissions from the onboarding role. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://cortex-docs.paloaltonetworks.com/cloud-onboarding-template-releases/cloud-onboarding-templates-aws-rn.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.